A Simple Guide To Using Deep Learning to Predict Temperatures in Python With Tensorflow

Показать описание

Computers are crazy good at learning from inputs we give them. One of the most accurate techniques for doing this type of "AI learning" is called Deep Learning, and surprise surprise, Google has a library we can use to apply it (it's called Tensorflow)!

Deep Learning models are based on neurons in the brain, and when you build a Deep Learning model you're building what's called a neural network.

In this video, you'll see how to apply Deep Learning directly from a CSV file. This file has made-up temperature values on Jupiter, Mars and Venus in Celsius.

The goal is to train a model to learn how to predict Fahrenheit values from Celsius.

This is obviously overkill, since it's pretty easy to convert from C to F, but this just goes to show you how powerful Deep Learning is: it can learn patterns all by itself like a big-computer.

Hope you find this useful!